File 26_mox files slow speed.

This data belongs to a manuscript submitted to Data in Brief, in which the content and lay-out of this data is described in detail. Data overviews (including figures and tables for age and gender groups) can be found at OSF | Normative 3D gait data of healthy subjects walking at three different speeds on an instrumented treadmill in virtual reality.A normative gait dataset of 246 healthy adults (122 men / 124 women, range in age 18-91 years, body weight 46.80-116.10 kg, height 1.53-1.97 m and BMI 18.25-35.63 kg/m2) is presented and publicly shared for three walking speed conditions.Three dimensional gait analysis was performed at the Computer Assisted Rehabilitation Environment (CAREN) at the Maastricht University Medical Centre (MUMC+). Subjects walked on the instrumented treadmill surrounded with twelve 3D cameras, three 2D cameras and a virtual environment projected on a 180° screen using the Human Body Lower Limb Model with trunk markers (HBM-II) as biomechanical model.Subjects walked at comfortable walking speed, 30% slower and 30% faster. These walking speed conditions were applied in a random sequence. Comfortable walking speed was determined using a RAMP protocol: subjects started to walk at 0.5 m/s and every second the speed was increased wit 0.01 m/s until comfortable speed was reached. The average of three repetitions was considered the comfortable speed. For each walking speed condition, 250 steps were recorded.The 3D gait data was collected using the D-flow CAREN software. Raw data were processed in Matlab (Mathworks 2016), including quality check, step determination and the exportation of data to xls. Processed data includes spatiotemporal parameters, medio-lateral (ML) and back-forward (BF) margins of stability (MoS), 3D joint angles, anterior-posterior (AP) and vertical GRFs, 3D joint moments and 3D joint power of both legs.The attached files include he raw data presented as .mox files for each adult for walking at slow (comfortable -30%) speed. The .mox files contain subject data (e.g. gender, body mass, knee and ankle width), marker position and force plate data, kinematic data (joint angles), kinetic data (GRF, joint moment, joint power) generated by CAREN software (D-flow).The title of this file (26_mox files) corresponds to the associated manuscript (submitted to Data in Brief).

本数据集隶属于一篇提交至《Data in Brief》的手稿，其中详细阐述了本数据集的内容与布局。数据概览（包含年龄与性别分组的图表）可在开放科学框架（Open Science Framework, OSF）平台查阅：《Normative 3D gait data of healthy subjects walking at three different speeds on an instrumented treadmill in virtual reality》。本研究公开分享了246名健康成年人的标准化步态数据集，其中男性122名、女性124名，年龄跨度为18~91岁，体重46.80~116.10 kg，身高1.53~1.97 m，体质量指数（BMI, Body Mass Index）18.25~35.63 kg/m²，涵盖三种行走速度工况。三维步态分析实验于马斯特里赫特大学医学中心（Maastricht University Medical Centre, MUMC+）的计算机辅助康复环境（Computer Assisted Rehabilitation Environment, CAREN）中开展。受试者在仪器化跑台（instrumented treadmill）上行走，周围布置有12台三维运动捕捉相机、3台二维相机，并通过180°屏幕投射虚拟环境（virtual reality），采用带躯干标记点的人体下肢生物力学模型（HBM-II）作为生物力学分析模型。受试者分别以舒适步行速度、比舒适速度慢30%、比舒适速度快30%的速度行走，三种速度工况以随机顺序实施。舒适步行速度通过RAMP协议确定：受试者以0.5 m/s的初始速度开始行走，每1秒速度提升0.01 m/s，直至达到舒适速度，取三次重复测试的平均值作为最终舒适速度。每种行走速度工况下记录250步。三维步态数据通过D-flow CAREN软件采集。原始数据在Matlab（MathWorks 2016）中进行处理，包括质量校验、步数识别，并将数据导出为xls格式。处理后的数据包含时空参数、内外侧（medio-lateral, ML）与前后向（back-forward, BF）稳定性边界（margin of stability, MoS）、三维关节角度、前后向（anterior-posterior, AP）与垂直地面反作用力（GRF, Ground Reaction Force）、双侧下肢的三维关节力矩与三维关节功率。随附文件包含慢速（舒适速度-30%）行走时每名成年人的原始.mox格式数据。.mox文件包含受试者信息（如性别、体重、膝踝宽度）、标记点位置与测力台数据、运动学数据（关节角度）以及由CAREN软件（D-flow）生成的动力学数据（地面反作用力、关节力矩、关节功率）。本文件（含26个.mox文件）的标题对应于投稿至《Data in Brief》的相关手稿。